Decision Sciences, Economics, Finance, Business, Computing, and Big Data: Connections

Chia-Lin Chang (), Michael McAleer and Wing-Keung Wong

No 2018-09, Documentos de Trabajo del ICAE from Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico

Abstract: This paper provides a review of some connecting literature in Decision Sciences, Economics, Finance, Business, Computing, and Big Data. We then discuss some research that is related to the six cognate disciplines. Academics could develop theoretical models and subsequent econometric and statistical models to estimate the parameters in the associated models. Moreover, they could then conduct simulations to examine whether the estimators or statistics in the new theories on estimation and hypothesis have small size and high power. Thereafter, academics and practitioners could then apply their theories to analyze interesting problems and issues in the six disciplines and other cognate areas.

Keywords: Decision sciences; Economics; Finance; Business; Computing; Big data; theoretical models; Econometric and statistical models; Applications. (search for similar items in EconPapers)
JEL-codes: A10 G00 G31 O32 (search for similar items in EconPapers)
Pages: 59 pages
Date: 2018-03
New Economics Papers: this item is included in nep-big, nep-cfn, nep-hpe and nep-ict
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https://eprints.ucm.es/id/eprint/48454/1/1809.pdf (application/pdf)

Related works:
Working Paper: Decision Sciences, Economics, Finance, Business, Computing, and Big Data: Connections (2018)
Working Paper: Decision Sciences, Economics, Finance, Business, Computing, and Big Data: Connections (2018)
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